Research Software Engineering with Python: Building software that makes research possible

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Damien Irving Kate Hertweck

Research Software Engineering with Python

Building software that makes research possible

Damien Irving, Kate Hertweck, Luke Johnston , Joel Ostblom

$120

Paperback

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English

Chapman & Hall/CRC
06 August 2021

Computing: general; Algorithms & data structures; Programming & scripting languages: general; Software Engineering; Computer science

Writing and running software is now as much a part of science as telescopes and test tubes, but most researchers are never taught how to do either well. As a result, it takes them longer to accomplish simple tasks than it should, and it is harder for them to share their work with others than it needs to be.

This book introduces the concepts, tools, and skills that researchers need to get more done in less time and with less pain. Based on the practical experiences of its authors, who collectively have spent several decades teaching software skills to scientists, it covers everything graduate-level researchers need to automate their workflows, collaborate with colleagues, ensure that their results are trustworthy, and publish what they have built so that others can build on it. The book assumes only a basic knowledge of Python as a starting point, and shows readers how it, the Unix shell, Git, Make, and related tools can give them more time to focus on the research they actually want to do.

Research Software Engineering with Python can be used as the main text in a one-semester course or for self-guided study. A running example shows how to organize a small research project step by step; over a hundred exercises give readers a chance to practice these skills themselves, while a glossary defining over two hundred terms will help readers find their way through the terminology. All of the material can be re-used under a Creative Commons license, and all royalties from sales of the book will be donated to The Carpentries, an organization that teaches foundational coding and data science skills to researchers worldwide.

By: Damien Irving, Kate Hertweck, Luke Johnston, Joel Ostblom, Charlotte Wickham
Imprint: Chapman & Hall/CRC
Country of Publication: United Kingdom
Dimensions: Height: 234mm, Width: 156mm,
Weight: 1.061kg
ISBN: 9780367698324
ISBN 10: 0367698323
Pages: 528
Publication Date: 06 August 2021
Audience: Professional and scholarly , Undergraduate
Format: Paperback
Publisher's Status: Active

Dr. Damien B. Irving is post-doctoral researcher in climate science at the University of New South Wales living in Hobart, Tasmania. With a strong interest in data science education and open/reproducible research, Damien is involved in The Carpentries community as an instructor, lesson author and Regional Coordinator for Australia, is an Associate Editor with the Journal of Open Research Software, and is currently the Global Coordinator for the Research Bazaar, a worldwide festival promoting the digital literacy emerging at the center of modern research. Dr. Kate L. Hertweck is a scientist and educator who endeavors to uphold core values like diversity/equity/inclusion, accessibility of information, and learning over knowing. They currently lead training and community efforts to support biomedical researchers at Fred Hutchinson Cancer Research Center in Seattle, Washington. Kate is an instructor and trainer for the Carpentries and has also participated in that group's lesson development/maintenance and community governance. Dr. Luke Johnston is a diabetes epidemiologist working at the Steno Diabetes Center Aarhus in Denmark. He is passionate about educating researchers on modern computing tools and skills, having taught many Carpentry workshops as well as creating and instructing several intensive courses teaching computing skills and analytic reproducibility to diabetes researchers. When he isn't teaching or doing research, he is building software tools to automate common research workflows and tasks. Dr. Joel Ostblom is a post-doctoral teaching fellow in the Master's of Data Science program at the University of British Columbia in Vancouver, B.C. He has co-created or led the development of several courses and workshops at the University of Toronto and the University of British Columbia. Joel cares deeply about spreading data literacy and excitement over programmatic data analysis, which is reflected in his contributions to open source projects and data science learning resources. Dr. Charlotte Wickham is a data scientist and educator, who teaches in the Statistics Department at Oregon State University, as well as operating her own consulting and training business. She loves to help people build their data super powers in the R programming language. She currently lives in Corvallis, Oregon, but originally hails from New Zealand. Dr. Greg Wilson is a programmer and educator based in Toronto, Ontario, and was the co-founder and first Executive Director of Software Carpentry. A member of the Python Software Foundation, Greg has written or edited over a dozen books and received ACM SIGSOFT's Influential Educator Award in 2020.